Codesota · Audio · Automatic Speech Recognition · GigaSpeechTasks/Audio/Automatic Speech Recognition
Automatic Speech Recognition · benchmark dataset · EN

GigaSpeech.

GigaSpeech is a large, modern English dataset for speech recognition, collected from audiobooks, podcasts, and YouTube. It contains over 33,000 hours for unsupervised/semi-supervised learning and 10,000 hours with high-quality human transcriptions for supervised learning, covering both read and spontaneous speaking styles. The dataset has train, evaluation (dev), and test splits, with the train split having five configurations of various sizes (XS, S, M, L, XL), where larger subsets are supersets of smaller ones. It can also be used for Text-to-Speech (TTS) tasks.

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§ 06 · Contribute

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Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

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What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies